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Method for end-to-end (E2E) user equipment (UE) trajectory network automation based on future UE location

專利號
US10785634B1
公開日期
2020-09-22
申請人
Telefonaktiebolaget LM Ericsson (publ)（SE Stockholm）
發(fā)明人
Virgilio Fiorese; Saulo Almeida Montenegro de Sa; Rakesh Bajpai; Vinicius Samuel Landi Fiorese; Tushar Sabharwal; Nipun Sharma; Rohit Shukla
IPC分類
H04W8/08; G06N5/04; H04W64/00
技術(shù)領(lǐng)域
ue,network,e2e,nwdaf,trajectory,mobility,in,or,node,plmn
地域： Stockholm

摘要

Methods and systems for End-to-End (E2E) User Equipment (UE) trajectory network automation are herein provided. According to one aspect, a network node for E2E UE trajectory network automation, such as a Network Data Analytics Function (NWDAF), receives, from a requesting entity, information identifying a future E2E UE trajectory, the E2E UE trajectory comprising a start location, an end location, and zero or more intermediate locations between the start location and the end location; calculates a E2E mobility trajectory prediction for the identified future E2E UE trajectory; and sends, to the requesting entity, the calculated E2E mobility trajectory prediction. The requesting entity may be a trusted entity or an untrusted entity, such as a Third Party Provider (3PP) outside of the trusted domain of the network. If the requesting entity selects a mobility trajectory, the network node sends mobility management and optimization information to a Radio Access Network node.

說明書

  • This use case investigates how NWDAF can be leveraged to collect information from the different sources NF(s), and Application Function, and provide analytics about segments/areas of the network where the provided QoS could be improved. By correlating and analyzing information coming from NF(s) with information coming from the AF (like MOS), NWDAF can provide statistical information that enables operators to change network deployment and configuration to improve E2E QoS.
  • Examples of potential improvements that could be triggered by analytics/prediction are:
    • a) The Application function offline report the service data (like MoS) to NWDAF, allowing NWDAF to have a snapshot of service experience for specific UEs.
    • b) The NWDAF correlates the service data with the information provided by the 5GS NF(s) to find out why the service experience is good or bad.
    • c) With the data analytics provided by NWDAF, the 5GS NF is able to improve service experience (e.g. in areas with dense traffic, for instance, the best compromise (cost/service delay) for UPF location could be determined).
    • d) In addition, the network could inform the application Function when UE is getting close to a potentially overloaded area, so that application Function can know that there is a higher chance of oscillation on network conditions.

    • End Excerpt 3 from 3GPP TS 23.791

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